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[feature] add_rms_norm support bias (#5790)

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### What this PR does / why we need it?
This PR is to replace addRmsNorm and Add With addRmsNormBias. This way
can lead to a more effecient result.

### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
Full Test Pass

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: Chen_HaoWen <chenhaowen12@huawei.com>
Co-authored-by: Chen_HaoWen <chenhaowen12@huawei.com>
This commit is contained in:
yjmyl
2026-01-23 21:09:54 +08:00
committed by GitHub
parent 6c73b88dd6
commit e90b14140b
24 changed files with 3537 additions and 13 deletions
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4
tests/e2e/singlecard/test_quantization.py
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@@ -28,8 +28,8 @@ def test_qwen3_w8a8_quant():
]
vllm_target_outputs = [([
85, 4086, 44, 374, 264, 1550, 42747, 628, 323, 4938, 72816, 44378, 323,
13480, 4712, 369, 444, 10994, 82, 13, 1084, 374, 6188, 311, 387
], 'vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. It is designed to be'
13480, 4712, 369, 444, 10994, 82, 13, 1084, 374, 6188, 369, 3460
], 'vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. It is designed for large'
)]
with VllmRunner(